descriptive_equiv {LogRegEquiv} | R Documentation |
This function takes two datasets X_A, X_B
, regression formula,
significance level \alpha
and sensitivity level
\delta_\beta
(either vector or scalar). It builds a logistic
regression model for each of the datasets and then checks whether the
obtained coefficient vectors are equivalent, using the
beta_equivalence
function.
descriptive_equiv(data_a, data_b, formula, delta, alpha = 0.05)
data_a |
dataset |
data_b |
dataset |
formula |
logistic regression formula |
delta |
equivalence sensitivity level |
alpha |
significance level |
equivalence
the beta_equivalence
function output
model_a
logistic regression model M_A
model_b
logistic regression model M_B